BUSCADOR RECOLECTA

The dataset is divided by institutions and by x-ray machines.-- Appropriate images were selected for this project using the MicroDicom software. All images are anonymised.-- Methods for processing the data: 1. Resize [512, 512], 2. Remove the letters by cropping the image 0.15%, 3. Resize [512, 512], 4. Max-min normalize, 5. Convert to JPG., Dataset con imágenes de rayos-X patológicas y de control de neumonía provocada por COVID-19 tomadas en distintos hospitales y equipos de adquisición de imagen. Todos los pacientes tenían PCR positiva a la hora de realizarles la radiografía., Peer reviewed

Dataset are structured following well-established data formats Darwing Core. Three files are provided. The first file (Don_liz-gec_event_20221201) contains the information of the project, the institution and the description each event (time of occurrence, geographical coordinates, habitat type, etc…); the second file (Don_liz-gec_occ_20221201) contains the information of the occurrences of species recorded in each transect, taxonomic classification, geographoical coordinates of its observation, etc…; and the third file (Don_liz-gec_mof_20221201) provide information of the description of other variables measured during counts., The monitoring of lizards and geckos’ community in Doñana was initiated in 2005 as part of the monitoring program of natural resources and processes. One of the aims of this project was to obtain a temporal and continuous series of data of the presence and abundance of these species to detect changes and trends in their wild populations within the protected area. Lizard and gecko counts are collected annually by members of the monitoring team three times per year in the periods when reptile activity is high (two samplings in March-June and one sampling in September-October), with good environmental conditions (temperature between 17 and 25 ºC and absence of rain or strong wind conditions). The method used to record the presence and abundance of lizard and gecko species (kilometric index: number of individuals/km) are the transect censuses. Individuals are visually searched along seven transects (linear or circular) that are carried out by one trained person on foot. Each transect have an established length, but the length surveyed is different (averaged 1858 ± 51.86 meters). Each transect is located in dunes or mediterranean vegetation habitats, representative of Doñana ecosystems. Two transects runs through wooden footpaths (within the Natural Park and five transects are placed on sand-trails (4 within the National Park and one in Natural Park which contains a small part of wooden footpath). Linear transects have been surveyed in the outward track direction and after waiting 15 minutes it has been again performed on the way back. This information is valid to account for species presence in the area. However, we suggest to choose the first survey performed for statistical analyses that require independence of samples. Eight species can be potentially observed during the samplings: Mediterranean house gecko (Hemidactylus turcicus), Common Wall Gecko (Tarentola mauritanica), Fringe-fingered Lizard (Acanthodactylus erythrurus), Algerian Psammodromus (Psammodromus algirus), Western Psammodromus (Psammodromus occidentalis), Carbonell's wall lizard (Podarcis carbonelli), Andalusian wall lizard (Podarcis vaucheri), Ocellated lizard (Timon lepidus). Other reptile species present in Doñana have not been included in this study as the detection with this method is very low. For instance, to detect species with a fossorial behaviour (the Mediterranean Worm Lizard Blanus cinereus) or those cryptic as adders (Vipera latastei), it is required larger investment of survey which consist in looking under vegetation, burrows or logs (there are not stones in Doñana). Data recorded during the surveys include weather description (cloud cover, temperature, rain, or wind speed), species identification, number of individuals, sex and life stage of the reptiles when possible, as well as time and georeferenced data of the observation. Between 2005-2007 data was registered in Excel file and since 2008 data is recorded with the app CyberTracker (see protocol). The protocol used has been supervised by herpetological researchers and the data have been validated by the members who performed the transects., National Parks Autonomous Agency (OAPN) between 2002-2007; Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2007; and Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) since all the study period (2005)., 1. Don_liz-gec_event_20230524: eventID, institutionCode, institutionID, datasetName, continent, country, countryCode, stateProvince, county, locality, eventDate, eventTime, decimalLatitude, decimalLongitude, verbatimCoordinate, habitat, sampleSizeValue, sampleSizeUnit, samplingEffort, samplingProtocol 2. Don_liz-gec_occ_20230524: recordedBy, eventID, occurrenceID, dynamicPropeerties, decimalLatitude, decimalLongitude, basisOfRecord, individualCount, occurrenceStatus, lifeStage, sex, occurrenceRemarks, behavior, kingdom, class, family, scientificName, genus, specificEpithet, scientificNameAuthorship, taxonRank 3. Don_liz-gec_mof_20230524: eventID, measurementID, measurementType, measurementValue, measurementUnit, measurementMethod., Peer reviewed

Simulation codes and simulation results for the paper "Microbial narrow-escape is facilitated by wall interactions"., We acknowledge financial support from grants CTM2017-83774-P and IED2019-000958-I (IT), PID2019-104232GB-I00 (IT and MP) from the Spanish Ministerio de Ciencia e Innovaci ́on (MICINN), the Ram ́on y Ca jal Program (RYC-2018-02534; MP), ECOST-STSM-Request-CA17120-47203 for the COST Action (European Cooperation in Science and Technol- ogy); RPG-2018-345 (AA and MP) from The Leverhulme Trust; H2020 MSCA ITN PHYMOT (Grant agreement No 955910; IT and MP). MS also acknowledges A. Marin for his support., Peer reviewed

Version 6.-- The script.R file contains the code for the analysis. The input.RData file is the data to run in the script and the estimates.RData file contains the results of the analysis., Accurate and precise monitoring of the absolute density (i.e., number of fish per area or volume unit) of exploited fish stocks would be strongly advisable for deriving stock status and for designing proper management plans. Moreover, monitoring should be achieved at relevant (i.e., sufficiently large) temporal and spatial scales. This objective is particularly challenging for data-poor fisheries, as is often the case for recreational fisheries. Therefore, the feasibility of underwater video monitoring (vertical unbaited cameras) for estimating, as a proof of concept, the absolute density (and its ecological drivers) of a coastal sedentary fish species is demonstrated. The absolute density of a small serranid (Serranus scriba) targeted by recreational fishing was estimated along the southern coast of Mallorca Island (nearly 100 km). The median fish density ranged between 111 ind/km2 (Es Molinar) and 14,110 ind/km2 (Cabrera). Absolute density was correlated with fishing exposure, habitat, and depth. Site specific, seemingly long-term, effects of fishing exposure were negatively correlated with fish density, but short-term effects (assessed by the interaction between fishing exposure and before/after the season when recreational fishing occurred in the study area) were not detected. We suggest that the short-term effects of fishing may remain undetected because highly exploited sites could contain fish that are already not vulnerable to recreational fishing gear, irrespective of the short-term fishing pressure exerted. Such a process may explain some hyper-depletion patterns and should preclude the use of fisheries-dependent data for monitoring fish density. The results reported here indicate that monitoring fish abundance with vertical unbaited cameras at large spatial and temporal scales can be a reliable alternative for many species., Peer reviewed

While considerable evidence exists of biogeographic patterns in the intensity of species interactions, the influence of these patterns on variation in community structure is less clear. Studying how the distributions of traits in communities vary along global gradients can inform how variation in interactions and other factors contribute to the process of community assembly. Using a model selection approach on measures of trait dispersion in crustaceans associated with eelgrass (Zostera marina) spanning 30° of latitude in two oceans, we found that dispersion strongly increased with increasing predation and decreasing latitude. Ocean and epiphyte load appeared as secondary predictors; Pacific communities were more overdispersed while Atlantic communities were more clustered, and increasing epiphytes were associated with increased clustering. By examining how species interactions and environmental filters influence community structure across biogeographic regions, we demonstrate how both latitudinal variation in species interactions and historical contingency shape these responses. Community trait distributions have implications for ecosystem stability and functioning, and integrating large-scale observations of environmental filters, species interactions and traits can help us predict how communities may respond to environmental change., This research was funded by National Science Foundation grants to J.E.D., J.J.S. and K.A.H. (NSF-OCE 1336206, OCE 1336905, and OCE 1336741). C.B. was funded by the Åbo Akademi University Foundation., Peer reviewed

Agencia Estatal de Investigación (AGL2017-87812-R y PID2020-113441RB-I00). Cofinanciación FEDER. A. Della Badia: contrato predoctoral FPI (PRE2018-086174) del MICINN. Cofinanciación Fondo Social Europeo., Peer reviewed

This database contains data on different biogeochemical variables measured in three soil cores (32-39 cm long) sampled in a saltmarsh community of the Bay of Santander (Gulf of Biscay). Soil cores were extracted in June 2019 within an area of 25 m2 in a high marsh community located at the mouth of the Miera estuary, within the Bay of Santander (43.452136°/ -3.748134°) by manually hammering a PVC tube (60 cm L * 7 cm Ø). Compression was measured during sampling of each of the cores. The cores were preserved frozen until processing. The longest core (BS2A1, 39 cm) was sliced every 1 cm, whereas the other two cores (BSA2, BS2A3) were sliced every 2 cm for the top 20 cm and every 5 cm for the deeper layers. Each sediment slice was measured for wet volume and dried at 60 ºC for a minimum of 72 h. The dry weight of each slice was measured and used together with wet volume to estimate sediment dry bulk density (DBD in g·cm-3). Soil organic carbon content (Corg % DW) was measured every two or three slices along the sediment depth profile of each core. Corg was analyzed in the IHLab Bio laboratory of the IHCantabria using a TC analyzer (Shimadzu TOC-L + SSM-5000A). Grain size analysis was performed every other sample at the Universitat de Barcelona with a Beckman Coulter LS GB500. Organic Corg isotopic signature (δ13Corg) (in pre-acidified subsamples) was measured using an Elemental Analyzer Flash IRMS coupled with an Isotope Ratio Mass Spectrometry (DeltaV A) at the Universidad de la Coruña. The years of sediment accumulation were estimated from concentration profiles of 210Pb, determined by alpha spectrometry through the measurement of its granddaughter 210Po, assuming radioactive equilibrium between both radionuclides. About 100–200 mg aliquots of each sample were spiked with 209Po and microwave digested with a mixture of concentrated HNO3 and HF. Boric acid was then added to complex fluorides. The resulting solutions were evaporated and diluted to 100 mL 1M HCl and Po isotopes were auto plated onto pure silver disks. Polonium emissions were measured by alpha spectrometry using PIPS detectors (CANBERRA, Mod.PD-450.18 A.M). Reagent blanks were comparable to the detector backgrounds. Analyses of replicate samples and reference materials were carried out systematically to ensure the accuracy and the precision of the results. The supported 210Pb was estimated as the average 210Pb concentration of the deepest layers once 210Pb reached constant values. Then, excess 210Pb (210Pbxs) concentrations were obtained by subtracting the supported 210Pb from the total 210Pb. Age model of the sediment depth profile records was obtained by modeling the 210Pbxs concentration profiles along the accumulated mass at each site. The model age of the sediment record was estimated using the Constant Flux: Constant Sedimentation model (CF:CS, 76). In order to assess the impact of the bridge construction on the biogeochemical properties of the saltmarsh soil, we compare all biogeochemical properties across two sections of the core, divided based on the results of 210Pb dating: sediments accumulated before and after the building of the bridge (i.e., before vs. after 1978).concentration profiles of 210Pb and applying the Constant Flux: Constant Sedimentation model (CF:CS, Krishnaswamy et al. 1971)., This database contains biogeochemical data on different biogeochemical variables measured in three soil cores sampled in a saltmarsh community of the Bay of Santander (Gulf of Biscay)., These data were compiled with the contribution of the LIFE Programme of the European Union to the Project ADAPTA BLUES (ref. LIFE18 CCA/ ES/001160). This document reflects only the author’s view and the Agency/ Commission is not responsible for any use that may be made of the information it contains.Authors acknowledges the financial support from the Government of Cantabria through the Fénix Programme. The authors want to thank the support of the Generalitat de Catalunya to MERS (2017 SGR-1588) and the Spanish Government for the “Maria de Maeztu” program for Units of Excellence to ICTA (grant no. CEX2019-000940-M)., -Infrastructure impact_Data.xlsx: the Database to be published. -Variables Database.xlsx, Peer reviewed

During the sampling period from 29/10/2018 to 31/01/2020, traps were installed inside the municipal facilities in the City of Barcelona. 111 Mus musculus domesticus simples were collected and a tail fragment was taken and stored at -20ºC for subsequent molecular analysis. We extracten genomic DNA and analyzed the mutations in the Vkorc1 gene in exon 1, exon 2 and exon 3 that are 174 bp, 110 bp and 202 bp long, respectively, and encode in total 161 amino acids., Agència de Salut Pública de Barcelona., Peer reviewed

The dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Please, read the full ODbL 1.0 license text for the exact terms that apply. Users of the dataset are free to: Share: copy, distribute and use the database, either commercially or non-commercially. Create: produce derivative works from the database. Adapt: modify, transform and build upon the database. Under the following conditions: Attribution: You must attribute any public use of the database, or works produced from the database. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the original database. Share-Alike: If you publicly use any adapted version of this database, or works produced from an adapted database, you must also offer that adapted database under the ODbL, Ergosterol is a specific sterol component of yeast and fungal membranes. Its biosynthesis is one of the most effective targets for antifungal treatments. However, the emergent resistance to multiple sterol-based antifungal drugs emphasizes the need for new therapeutic approaches. The allylamine terbinafine, which selectively inhibits squalene epoxidase Erg1 within the ergosterol biosynthetic pathway, is mainly used to treat dermatomycoses, whereas its effectiveness in other fungal infections is limited. Given that ergosterol biosynthesis depends on iron as an essential cofactor, in this report we used the yeast Saccharomyces cerevisiae to investigate how iron bioavailability influences Erg1 expression and terbinafine susceptibility. We observed that both chemical and genetic depletion of iron decrease ERG1 expression, leading to an increase in terbinafine susceptibility. Deletion of either ROX1 transcriptional repressor or CTH1 and CTH2 post-transcriptional repressors of ERG1 expression led to an increase in Erg1 protein levels and terbinafine resistance. On the contrary, overexpression of CTH2 led to the opposite effect, lowering Erg1 levels and increasing terbinafine susceptibility. Although strain-specific particularities exist, opportunistic pathogenic strains of S. cerevisiae displayed a response similar to the laboratory strain. These data indicate that iron bioavailability and particular regulatory factors could be used to modulate susceptibility to terbinafine., This research was supported by grant PID2020-116940RB-I00 funded by MCIN/AEI/10.13039/501100011033 and predoctoral fellowship ACIF/2019/214 funded by “Generalitat Valenciana”., Peer reviewed

The community of woody species (shrubs and trees), with the capacity to act as nurse plants, was sampled in three habitat subtypes of Ziziphus lotus (Habitat 5220*, Habitat Directive UE): i) habitat dominated by Ziziphus lotus individuals (ZIZ) ; ii) habitat dominated by Maytenus senegalensis with Ziziphus lotus (ZIZMAY); iii) habitat dominated by Chamaerops humilis with Ziziphus lotus (ZIZCHA). Each habitat subtype was sampled at 8 locations using 25 [10x10 m] sampling squares (8 locations x 25 sampling squares = 200 squares per habitat subtype x 3 subtypes = 600 total squares). In each square, the list of woody plant species, with the capacity to act as nurses, and their covers (% or m2) was recorded. The squares were randomly distributed, trying to cover the largest possible area within each locality to avoid sampling bias. Rarefaction curves were used to calculate the diversity estimates per habitat subtype showed in .csv files (n for rarefaction curves per habitat subtype = n sampled squares per habitat subtype x 2 = 200 x 2 = 400). iNEXT package (Hsieh, Ma and Chao, 2020) of R sofware (R Core, 2021) was used to calculated the summaries and diversity estimates showed in .csv files., Proyecto SUMHAL, LIFEWATCH-2019-09-CSIC-13, POPE 2014-2020., Our aim was to characterize the woody plant species, with the capacity to act as nurse plants, present in the arborescent scrubs with Ziziphus lotus (Habitat 5520*, Habitat Directive EU) in the semiarid southeast of the Iberian Peninsula, mainly in Almería province (Andalucia, Spain). We selected three habitat subtypes with Ziziphus lotus: i) habitat dominated by Ziziphus lotus individuals (ZIZ) ; ii) habitat dominated by Maytenus senegalensis with Ziziphus lotus (ZIZMAY); iii) habitat dominated by Chamaerops humilis with Ziziphus lotus (ZIZCHA)., This work was funded by Proyecto FEDER SUMHAL-Sustainability for Mediterraean Hospost in Andalusia integrating LifeWatch ERIC [Work Package 9. Task 9.3.2. Model impact of land use change] (LifeWatch ERIC – FEDER, POPE 2014-2020; Ministerio de Ciencia e Innovación, Spain); Junta de Andalucía Excelencia RNM- 766 project; and by funds from Fondo Europeo de Desarrollo Regional (FEDER- UJA 1261180 project, FEDER Andalucía operative programme). CSIC is acknowledged for supporting Open Access publication., Plant_database_Pop_Hab_ziziphus.csv [shows the list of woody plant species per sampled population with the information of habitat subtype and incidence per plant species] Plant_database_Hab_ziziphus.csv [shows the list of woody plant species per subtype of sampled habitat with the information of cover and incidence per plant species] Population_and_sampling_info.csv [has information about samplings and diversity values per sampled population according the data of 'Plant_database_Pop_Hab_ziziphus.csv' file] Habitats_info.csv [has information about samplings and rarefaction diversity estimates per habitat according the data of 'Plant_database_Hab_ziziphus.csv' file] Metada.csv [records information about the meaning of columns in 'Plant_database_Pop_Hab_ziziphus.csv', 'Plant_database_Habitats_ziziphus.csv', 'Population_and_sampling_info' and 'Habitats_info.csv' files], Peer reviewed